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conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
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criteria Academically relevant background within marine technology and cybernetics, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. Master's
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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prestigious Research Centre for Environment-friendly Energy (FME) program. It brings together over 60 partners from industry, research, and academia, forming one of the largest and most comprehensive maritime
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national or international funding to advance science in line with your research vision Participate in teaching activities, including the co-supervision of MSc and PhD student projects Have leadership skills
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Dr. Stepan Vesely from the Department of Psychology. The Head of Department will be your immediate superior
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Prof. Jan Østergaard, who also heads Research Thrust 3(RT3) within the center. A dedicated supervisory team composed of experts from the departments of electronic systems, computer science, and
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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy